From | Marcello Pagano <[email protected]> |
To | [email protected] |
Subject | Re: st: RE: nonparametric tests for variance |
Date | Thu, 03 Feb 2005 12:25:54 -0500 |
Hi Nick,
Thank you very much for the response. I'll look at
the Miller citation.
Regarding your query, here's a brief context to my
problem. I am trying to measure the effect of a legal
rule allowing pre-trial offers. I look at a period of
1990-2000, where Nevada changed its law in 1995, and
the neighboring states did not. Using a
differences-in-differences approach,
AWARDS = a + b(Nev) + c(post1995) + d(Nev)(post1995) +
f(control variables) + e
I get a small and statistically non-significant change
in damage awards.
I would like to know whether there was a statistically
significant change in the variance in AWARDS. In
other words, did the rule reduce the variance in
payouts, even if it did not change the mean.
Thus, I am trying to do a diff-in-diff where I look at
variance, not mean, of AWARDS.
Have you ever confronted this problem?
H
--- Nick Cox <[email protected]> wrote:
I don't know what underlies this, a scientific question or a worry about assumptions for some other procedure.
Either way, have a look at Rupert G. Miller's "Beyond ANOVA". It may answer your question directly or indirectly. The reference is at [R] diagnostic plots.
Nick [email protected]
Hyun Yoon
Following up on my earlier query, has anyone comevariance?
across a way to do a nonparametric test for
Thanks to Scott, I am aware that Stata can do thisGroup
when testing for signficiance the difference in
variance between two groups (e.g., Group A and
B), using sdtest or robvar.would
But my question is slightly more complicated: I
like to test whether the difference in varianceA2
between two sets of groups (Group A1 and B1; Group
and B2) is significant.they
I posed this question to Statatech directly, and
were unaware of any way to do this nonparametrictest
on Stata.*
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